Machine Learning Platform and Recommendation Engine built on Kubernetes
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Updated
Apr 12, 2020 - Java
Machine Learning Platform and Recommendation Engine built on Kubernetes
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
Java-Based Context-aware Recommendation Library
Towards A Standardized Tag Recommender Benchmarking Framework
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
Semester project for Tishreen university.
Completed exercises for Coursera Recommender Systems MOOC
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
Generic Recommendation Engine Skeleton
A Java implementation of Alternating Least Squares (ALS).
An Android App with ML backend to suggest movies based on your continuous rating.
A graph based recommendation engine
A Hybrid Recommendation model based on sentiment analysis on tweets and item based filtering to closely match preferred recommendation.
Book Recommendation Service
Spring Boot Starter for using Mahout as a recommendation engine for item-based collaborative filtering.
Java and Spring demo api for the Oatfin platform
A media recommendation web app.
A recommender engine similar to those used by Netflix or Amazon.
[GIW-MII-UGR-2016-2017] Desarrollo de un Sistema de Recomendación basado en Filtrado Colaborativo "User Based" desde cero y con Mahout Taste
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